You will get Computer Vision Engineer for Object Detection & Tracking System
Top Rated
Project details
I'll build a production-ready object detection and tracking system as your dedicated Computer Vision Engineer. Working with deep learning and OpenCV, I design and deploy real-time pipelines that detect, classify, and track objects across video streams, from model selection through training, optimization, and deployment.
Typical use cases include people and vehicle tracking, sports analytics, industrial inspection, and security monitoring. As a Computer Vision Engineer and Python developer, I handle the full pipeline: data preparation, model training, multi-object tracking with ByteTrack or DeepSORT, and real-time inference optimization with TensorRT or ONNX for edge or cloud deployment.
If you need a Computer Vision Engineer to turn your video data into structured, actionable detections, this project delivers a working system tailored to your use case.
Typical use cases include people and vehicle tracking, sports analytics, industrial inspection, and security monitoring. As a Computer Vision Engineer and Python developer, I handle the full pipeline: data preparation, model training, multi-object tracking with ByteTrack or DeepSORT, and real-time inference optimization with TensorRT or ONNX for edge or cloud deployment.
If you need a Computer Vision Engineer to turn your video data into structured, actionable detections, this project delivers a working system tailored to your use case.
Machine Learning Tools
Amazon SageMaker, ChatGPT, Keras, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$2,000
|
Standard
$4,500
|
Advanced
$8,500
|
|---|---|---|---|
| Delivery Time | 10 days | 21 days | 35 days |
Number of Revisions | 2 | 3 | Unlimited |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code |
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RZ
Ron Z.
Feb 18, 2026
AI Clipping & Highlights for Baseball/Softball
KL
Kevin L.
Mar 2, 2025
Biomedical Sensor Wearable Machine Learning (ML/AI) Development Project
We have nothing but positive things to say about Vadym and his team. They delivered a project on time and were able to fix a few things that we had gotten wrong. Will be happy to work with them again on future projects!
MS
Mohamed S.
Feb 12, 2024
Update to Optimisation Algorithm
We enjoyed working with Vadym. He is very good in what he does and he helped us a lot.
We will recommend him to any one requiring a Python developer or the likes.
Thanks
We will recommend him to any one requiring a Python developer or the likes.
Thanks
JF
John F.
Nov 30, 2023
Computer Vision and GIS Expert for Roof Plane Detection
Vadym's expertise in AI development was instrumental to our project's success. His innovative solutions, coupled with efficient coding practices, significantly enhanced our project's capabilities. His ability to communicate complex technical concepts clearly was invaluable. I highly recommend Vadym for his exceptional skills and dedication.
MS
Mridula S.
Oct 3, 2022
Deep learning patents
About Vadym
Computer Vision Engineer / Data Scientist / Machine Learning / AI
100%
Job Success
Kharkiv, Ukraine - 4:42 am local time
🏅 Expert-Vetted Status on Upwork
🏆 Top 10 Machine Learning Agency
⚡ 25+ Production Systems Delivered
Struggling to turn video or image data into reliable production AI? Over the last 7+ years, I’ve helped sports, industrial, satellite, and healthcare teams cut manual inspection time by 35%. Let’s build detection, tracking, segmentation, or edge AI that works in the real world.
🎯 HOW I CAN HELP YOU
COMPUTER VISION SYSTEMS
Turn visual data into accurate, production-ready outputs that improve decisions, automate manual review, and scale across real-world conditions. I build systems for detection, tracking, segmentation, pose estimation, and video analysis that stay robust under occlusion, low light, and multi-camera setups.
SPORTS ANALYTICS AI
Convert broadcast or field video into player tracking, ball trajectories, and performance metrics that help teams measure more and react faster. My sports systems have covered football, tennis, pickleball, and 3D ball tracking with calibration and real-time inference optimized for usable match insights.
INDUSTRIAL INSPECTION AUTOMATION
Reduce defects, speed up quality control, and catch issues before they hit production. I have delivered defect detection and segmentation systems for manufacturing use cases, including fabric defects, roof inspection, and image stitching pipelines for precision analysis.
SATELLITE AND AERIAL IMAGE ANALYSIS
Extract actionable intelligence from drone and satellite imagery to support infrastructure monitoring, mapping, and large-area inspection. I use YOLO-based detection and segmentation pipelines that handle sparse labels, variable resolution, and geospatial complexity.
REAL-TIME EDGE AI DEPLOYMENT
Get low-latency AI running on NVIDIA Jetson, cloud APIs, or embedded devices without sacrificing accuracy. I optimize models with TensorRT, ONNX, Docker, and C++ when needed, helping clients meet strict speed and hardware constraints in production.
🤝 𝗚𝗘𝗧 𝗜𝗡 𝗧𝗢𝗨𝗖𝗛
Message me on Upwork if you need a Computer Vision Engineer or Machine Learning Engineer to turn your idea into a production-ready AI system. I can help with a free consultation, scope the best approach, and move fast on your next build.
I typically respond within 4 hours and can prioritize urgent projects.
𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸
I build computer vision systems with OpenCV and PyTorch, productionize machine learning models in TensorFlow, and deploy Python pipelines for real-time video analysis and image segmentation.
Steps for completing your project
After purchasing the project, send requirements so Vadym can start the project.
Delivery time starts when Vadym receives requirements from you.
Vadym works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery
Review your video samples, target object classes, and accuracy or latency requirements to scope the right model architecture.
Development and QA
Train and validate the detection and tracking models, test against your real-world video conditions, and iterate based on results.